Industrial Training Platform Using Augmented Reality for Instrumentation Commissioning

Gustavo Caiza, Jennifer K. Bologna, Carlos A. Garcia, Marcelo V. Garcia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Augmented reality (AR) platforms are poised to have great potential for industries when it comes to complex processes like maintenance or instrument commissioning in the Oil and Gas industry. The human-centered technology displays context-specific 3-D information in a real environment related to a specifically targeted object. Immersive experiences are expected to boost task efficiency, the quality of training, and maintenance purposes. This research shows an AR system that allows users to train in the calibration of HART instrumentation, using the Unity 3D platform and Meta 2 glasses. This application offers a platform that has advantages for users since it can train in the operation of expensive industrial equipment in an error-prone system. The validation of the system was carried out through an evaluation module, which allows the user to determine the level of training and autonomously build their own learning, obtaining positive responses that show that around 82% of the population evaluated.

Original languageEnglish
Title of host publicationAugmented Reality, Virtual Reality, and Computer Graphics - 7th International Conference, AVR 2020, Proceedings
EditorsLucio Tommaso De Paolis, Patrick Bourdot
PublisherSpringer Science and Business Media Deutschland GmbH
Pages268-283
Number of pages16
ISBN (Print)9783030584672
DOIs
StatePublished - 2020
Event7th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, AVR 2020 - Lecce, Italy
Duration: 7 Sep 202010 Sep 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12243 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, AVR 2020
CountryItaly
CityLecce
Period7/09/2010/09/20

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Augmented Reality
  • Human-centered smart systems
  • Industrial training applications
  • Unity 3D

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